Machine Learning Engineer

Machine Learning Engineer | Hybrid – Dublin

We’re looking for aMachine Learning Engineerto help power AI within Healthcare Information Systems. This role is ideal for someone who enjoys building production-ready ML systems — not just models, but the infrastructure that makes them reliable, scalable, and secure in the real world.

If you’re passionate aboutMLOps, cloud infrastructure, and production stability, this could be a great fit.

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• Build and maintain CI/CD pipelines for ML (testing, deployment, version control)
  
• Deploy models as scalable APIs and microservices
  
• Monitor model performance, data drift, and system health in production
  

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• Develop and optimise ETL pipelines for healthcare data (FHIR, HL7)
  
• Support feature stores and data layers to ensure training/production consistency
  
• Integrate ML outputs into core healthcare applications alongside backend teams
  

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• Write clean, maintainable Python code
  
• Use Docker & Kubernetes to orchestrate ML workloads
  
• Ensure systems meet strict security and compliance standards (HIPAA/HITRUST)
  

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• 3–5 years’ experience in software or data engineering
  
• At least 2 years working with ML in production environments
  
• Strong Python skills (SQL required; Go or Java a bonus)
  
• Experience with AWS, Azure, or GCP
  
• Hands‑on experience with Docker
  
• Familiarity with ML frameworks xcfaprz (PyTorch or Scikit-learn)
  
• Experience with MLOps tools (Airflow, Prefect, Kubeflow, etc.)
  
• Experience with data tools such as Pandas, Spark, or dbt
  

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• Experience deploying Large Language Models (LLMs)
  
• Background in a regulated industry (Healthcare, Finance, etc.)
  
• Knowledge of APIs and microservices architecture
  

For more information or to apply, please contact: Aoife Regan

Email:

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